DataCatalog

Learn how to create, update, and manage AWS Athena DataCatalogs using Alchemy Cloud Control.

The DataCatalog resource lets you manage AWS Athena DataCatalogs for organizing and storing metadata about your data sources.

Minimal Example

Create a basic DataCatalog with required properties and a description:

import AWS from "alchemy/aws/control";

const basicDataCatalog = await AWS.Athena.DataCatalog("basicDataCatalog", {
  Name: "myDataCatalog",
  Type: "GLUE",  // Assuming usage of AWS Glue as the catalog type
  Description: "A catalog for storing metadata of my datasets"
});

Advanced Configuration

Configure a DataCatalog with additional options for parameters and tags:

const advancedDataCatalog = await AWS.Athena.DataCatalog("advancedDataCatalog", {
  Name: "advancedDataCatalog",
  Type: "GLUE",
  Description: "A catalog with advanced configuration",
  Parameters: {
    "catalogId": "123456789012",
    "compressionType": "GZIP"
  },
  Tags: [
    { Key: "Environment", Value: "Production" },
    { Key: "Project", Value: "DataAnalytics" }
  ]
});

Connection Type Example

Create a DataCatalog with a specified connection type:

const connectionDataCatalog = await AWS.Athena.DataCatalog("connectionDataCatalog", {
  Name: "connectionDataCatalog",
  Type: "GLUE",
  Description: "Catalog with a connection type",
  ConnectionType: "JDBC"
});

Error Handling Example

Manage error states for a DataCatalog:

const errorHandlingDataCatalog = await AWS.Athena.DataCatalog("errorHandlingDataCatalog", {
  Name: "errorHandlingDataCatalog",
  Type: "GLUE",
  Description: "Catalog with error handling",
  Error: "No connection available"
});